ctmm: Continuous-Time Movement Modeling

Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data. The package is described in Calabrese & Fleming (2016) <doi:10.1111/2041-210X.12559> and its methods are based on those introduced in Fleming et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2016) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, and Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>.

Package details

AuthorChristen H. Fleming [aut, cre], Justin M. Calabrese [aut], Xianghui Dong [ctb], Kevin Winner [ctb], Guillaume Péron [ctb], Michael J. Noonan [ctb], Bart Kranstauber [ctb], Eliezer Gurarie [ctb], Kamran Safi [ctb], Paul C. Cross [dtc], Thomas Mueller [dtc], Rogério C. de Paula [dtc], Thomas Akre [dtc], Jonathan Drescher-Lehman [dtc]
MaintainerChristen H. Fleming <[email protected]>
LicenseGPL-3
Version0.5.2
URL https://github.com/ctmm-initiative/ctmm http://biology.umd.edu/movement.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ctmm")

Try the ctmm package in your browser

Any scripts or data that you put into this service are public.

ctmm documentation built on Sept. 10, 2018, 5:04 p.m.